16 of 16 Semantic Kernel Jobs in London

solutions through the full lifecycle from prototype to production Implement and optimize multi‐agent systems using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or OpenAI Agents SDK Create orchestration patterns including planner/executor, supervisor/worker, and tool‐calling workflows Build RAG pipelines with … Expertise in LLMs, advanced RAG strategies, prompt engineering, and model evaluation approaches Hands‐on experience with multi‐agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI‐based integration Strong Python development skills and knowledge of CI/ ...

private endpoints, and data residency.Develop and deploy RAG-based knowledge systems using Azure AI Search, Azure OpenAI Service, and relevant orchestration frameworks (LangChain, Semantic Kernel, or Prompt Flow).Design and implement AI agent architectures for orchestrating multi-step insurance workflows (e.g. automated claims triage, document extraction … engineers on the team.Required Skills & QualificationsPython proficiency sufficient to build prototypes, review engineering output, and debug issues independently.Familiarity with orchestration frameworks: LangChain, Semantic Kernel, or Microsoft Prompt Flow.Hands-on experience with Microsoft Azure AI FoundryWorking knowledge of Azure DevOps or GitHub for managing AI experiment tracking ...

image, multimodal generation) and familiarity with advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic AI & Orchestration : Hands … multimodal and reasoning models; context windows, tokenization, fine‐tuning (LoRA/PEFT); RLHF/RLAIF concepts LLM application & agent frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, Haystack, CrewAI, AutoGen Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven and orchestration patterns Cloud ...

earlier architectures such as GANs and VAEs. Experience across text, code, image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic ...

development practices (Azure preferred). Practical experience with prompt engineering, retrieval‐augmented generation (RAG), fine‐tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating ...

. Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation ...

platforms Scaling AI systems across cloud environments You'll ideally have experience with: Python OpenAI, Anthropic, Gemini, Llama or similar LLMs LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen or equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/ ...

delivery experience applying agentic AI to modernise legacy systems or build new solutions. Hands‐on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents. Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment. Experience ...

Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open‐source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof‐of‐concept development to assess feasibility and value. Deputising ...

including: Microsoft Foundry/Azure AI Foundry (mandatory experience) Microsoft Copilot Studio (mandatory experience) Azure AI Services Azure OpenAI Service Microsoft Agent Framework Semantic Kernel Power Platform Enterprise Data Platforms Azure Machine Learning Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Agentic AI architectures LangChain/ ...

/CD, Infrastructure as Code and release automation. Strong problem-solving, communication and stakeholder collaboration skills. Preferred Skills Experience with LangChain, LangGraph, Semantic Kernel, CrewAI or similar agent frameworks. Experience with Bedrock Knowledge Bases, vector databases such as OpenSearch, Pinecone or Weaviate, and embedding-based retrieval ...

Rapid prototyping of data science and machine learning solutions on large datasets. Building agentic workflows and autonomous agents using frameworks like Langchain, Semantic Kernel, AutoGen, and LangGraph. Developing and optimizing generative AI models, focusing on prompt engineering and LLMs. Writing production-grade Python applications. Managing version ...

Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks** (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel).* Deep comfort and practical experience with **containers and orchestration technologies, specifically OpenShift**.* Demonstrated ability to architect, develop, and deploy ...

Generative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience with containers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly ...

core development language Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design ...

core development language Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGrap click apply for full job details ...